Compressed sensing K-best detection for sparse multi-user communications.
Benjamin KnoopFabian MonseesCarsten BockelmannDagmar Peters-DrolshagenSteffen PaulArmin DekorsyPublished in: EUSIPCO (2014)
Keyphrases
- compressed sensing
- multi user
- image reconstruction
- multiple access
- random projections
- sparse representation
- virtual environment
- natural images
- virtual world
- augmented reality
- signal recovery
- signal processing
- multiple users
- user interface
- single user
- multi granularity
- compressive sampling
- communication systems
- computer vision
- motion estimation
- unsupervised learning
- nearest neighbor
- fourier domain
- active learning
- object recognition
- pattern recognition
- orthogonal matching pursuit
- high quality